Automatically detecting misuse of licensed software

ABSTRACT

An example embodiment may be performed by a software application executable on a computing device and may involve communicating with a server to access records of sessions between the server and computing devices of a managed network. The managed network may contain the server and a database associated with licensed software executable on the server. The database may store the records, and the records may include network addresses of the computing devices. The example embodiment may also involve: using a set of license misuse criteria to identify, within the records, (i) a set of the sessions that meets the set of criteria and (ii) a network address of a target device involved in the set of sessions; based on the network address of the target device, identifying the target device; and storing in memory an indication identifying the target device as a potential source of misuse of the licensed software.

BACKGROUND

An enterprise may license software and install the licensed software onvarious computing devices in the enterprise's managed network. In orderto comply with license rights associated with the licensed software, itcan be desirable for the enterprise to keep track of where and how thelicensed software is used in the managed network. However, tracking useand detecting misuse of licensed software can be difficult, particularlywhen a large number of users and devices in the managed network areusing the licensed software and/or when the licensed software islicensed in accordance with a complex licensing model.

SUMMARY

Some license agreements may allow devices in an enterprise's managednetwork to indirectly access the licensed software via intermediarysoftware custom-built by the enterprise and/or developed by athird-party.

The manner in which software is licensed to an enterprise for indirectaccess use can vary, and thus, scenarios in which an enterprise can beconsidered to be misusing software licensed for indirect access can varyas well. For example, multiple concurrent uses of the licensed software,all using the same account, could be considered misuse. As anotherexample, if only a certain number of users in the managed network arelicensed to use the licensed software, but more than that number ofusers are using the licensed software over time or concurrently, thatcould be considered misuse as well.

Due to the dynamic nature of enterprises as well as the various modelsfor licensing software, it may be desirable for an enterprise to be ableto automatically detect and flag scenarios in which software licensed bythe enterprise is potentially being misused. In addition, it may bedesirable for the enterprise to be able to identify users and/orcomputing devices within the managed network that are associated withsuch misuse. This may help the enterprise avoid the risk of penaltiesresulting from license misuse. The enterprise may also be able to learnfrom license misuse scenarios and take action to reduce or eliminate theoccurrence of such scenarios.

The present disclosure provides a software application that isexecutable on a computing device of a managed network and configured fordetecting activity indicative of misuse of licensed software licenses,as well as identifying and flagging computing devices that are involvedwith such misuse. In particular, the software application can beconfigured to analyze records of sessions in which computing devices areaccessing licensed software. Using a set of criteria that can betailored for the enterprise to detect potential software license misuse,the software application can identify one or more sessions that meet theset of criteria, as well as a network address of a “target computingdevice”—namely, a computing device related to the managed network thatwas involved in each identified session and thus a potential source oflicense misuse. Then, the software application can identify the targetcomputing device using the network address and store in memory anindication that identifies the target computing device as a potentialsource of license misuse.

Accordingly, a first example embodiment may involve a method performedby a software application executable on a computing device. The methodmay involve communicating with a server device of a managed network toaccess records of communication sessions between the server device andcomputing devices related to the managed network. The communicationsessions may be initiated through use of accounts authorized to accessthe server device by licenses associated with a licensed softwareapplication executable on the server device. The managed network maycontain the server device and a database associated with the licensedsoftware application. The database may store the records, and therecords may include network addresses of the computing devices that areinvolved in the communication sessions.

The method may also involve using a set of license misuse criteria toidentify, within the records, (i) a set of the communication sessionsthat meets the set of license misuse criteria and (ii) a network addressof a target computing device involved in the set of communicationsessions. The set of license misuse criteria may comprise at least oneof a number of bytes transmitted between the target computing device andthe server device during the set of communication sessions exceeding athreshold number of bytes, or the set of communication sessionsincluding more than a threshold number of communication sessions. Themethod may also involve, based on the network address of the targetcomputing device, identifying the target computing device. The methodmay also involve storing in memory an indication that identifies thetarget computing device as a potential source of misuse of one or moreof the licenses.

In a second example embodiment, an article of manufacture may include anon-transitory computer-readable medium, having stored thereon programinstructions that, upon execution by a computing system, cause thecomputing system to perform operations in accordance with the firstexample embodiment.

In a third example embodiment, a computing system may include at leastone processor, as well as memory and program instructions. The programinstructions may be stored in the memory, and upon execution by the atleast one processor, cause the computing system to perform operations inaccordance with the first example embodiment.

In a fourth example embodiment, a system may include various means forcarrying out each of the operations of the first example embodiment.

These as well as other embodiments, aspects, advantages, andalternatives will become apparent to those of ordinary skill in the artby reading the following detailed description, with reference whereappropriate to the accompanying drawings. Further, this summary andother descriptions and figures provided herein are intended toillustrate embodiments by way of example only and, as such, thatnumerous variations are possible. For instance, structural elements andprocess steps can be rearranged, combined, distributed, eliminated, orotherwise changed, while remaining within the scope of the embodimentsas claimed.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 illustrates a schematic drawing of a computing device, inaccordance with example embodiments.

FIG. 2 illustrates a schematic drawing of a server device cluster, inaccordance with example embodiments.

FIG. 3 depicts a remote network management architecture, in accordancewith example embodiments.

FIG. 4 depicts a communication environment involving a remote networkmanagement architecture, in accordance with example embodiments.

FIG. 5A depicts another communication environment involving a remotenetwork management architecture, in accordance with example embodiments.

FIG. 5B is a flow chart, in accordance with example embodiments.

FIG. 6 depicts a scenario in which licensed software is accessed in amanaged network, in accordance with example embodiments.

FIG. 7 illustrates a communication environment in which a softwareapplication can detect scenarios of potential license misuse, inaccordance with example embodiments.

FIG. 8A is a record associated with a communication session during whichlicensed software is accessed, in accordance with example embodiments.

FIG. 8B is another record associated with a communication session duringwhich licensed software is accessed, in accordance with exampleembodiments.

FIG. 9A depicts a service map, in accordance with example embodiments.

FIG. 9B depicts another service map, in accordance with exampleembodiments.

FIG. 10 is a flow chart, in accordance with example embodiments.

DETAILED DESCRIPTION

Example methods, devices, and systems are described herein. It should beunderstood that the words “example” and “exemplary” are used herein tomean “serving as an example, instance, or illustration.” Any embodimentor feature described herein as being an “example” or “exemplary” is notnecessarily to be construed as preferred or advantageous over otherembodiments or features unless stated as such. Thus, other embodimentscan be utilized and other changes can be made without departing from thescope of the subject matter presented herein.

Accordingly, the example embodiments described herein are not meant tobe limiting. It will be readily understood that the aspects of thepresent disclosure, as generally described herein, and illustrated inthe figures, can be arranged, substituted, combined, separated, anddesigned in a wide variety of different configurations. For example, theseparation of features into “client” and “server” components may occurin a number of ways.

Further, unless context suggests otherwise, the features illustrated ineach of the figures may be used in combination with one another. Thus,the figures should be generally viewed as component aspects of one ormore overall embodiments, with the understanding that not allillustrated features are necessary for each embodiment.

Additionally, any enumeration of elements, blocks, or steps in thisspecification or the claims is for purposes of clarity. Thus, suchenumeration should not be interpreted to require or imply that theseelements, blocks, or steps adhere to a particular arrangement or arecarried out in a particular order.

I. Introduction

A large enterprise is a complex entity with many interrelatedoperations. Some of these are found across the enterprise, such as humanresources (HR), supply chain, information technology (IT), and finance.However, each enterprise also has its own unique operations that provideessential capabilities and/or create competitive advantages.

To support widely-implemented operations, enterprises typically useoff-the-shelf software applications, such as customer relationshipmanagement (CRM) and human capital management (HCM) packages. However,they may also need custom software applications to meet their own uniquerequirements. A large enterprise often has dozens or hundreds of thesecustom software applications. Nonetheless, the advantages provided bythe embodiments herein are not limited to large enterprises and may beapplicable to an enterprise, or any other type of organization, of anysize.

Many such software applications are developed by individual departmentswithin the enterprise. These range from simple spreadsheets tocustom-built software tools and databases. But the proliferation ofsiloed custom software applications has numerous disadvantages. Itnegatively impacts an enterprise's ability to run and grow itsoperations, innovate, and meet regulatory requirements. The enterprisemay find it difficult to integrate, streamline and enhance itsoperations due to lack of a single system that unifies its subsystemsand data.

To efficiently create custom applications, enterprises would benefitfrom a remotely-hosted application platform that eliminates unnecessarydevelopment complexity. The goal of such a platform would be to reducetime-consuming, repetitive application development tasks so thatsoftware engineers and individuals in other roles can focus ondeveloping unique, high-value features.

In order to achieve this goal, the concept of Application Platform as aService (aPaaS) is introduced, to intelligently automate workflowsthroughout the enterprise. An aPaaS system is hosted remotely from theenterprise, but may access data, applications, and services within theenterprise by way of secure connections. Such an aPaaS system may have anumber of advantageous capabilities and characteristics. Theseadvantages and characteristics may be able to improve the enterprise'soperations and workflow for IT, HR, CRM, customer service, applicationdevelopment, and security.

The aPaaS system may support development and execution ofmodel-view-controller (MVC) applications. MVC applications divide theirfunctionality into three interconnected parts (model, view, andcontroller) in order to isolate representations of information from themanner in which the information is presented to the user, therebyallowing for efficient code reuse and parallel development. Theseapplications may be web-based, and offer create, read, update, delete(CRUD) capabilities. This allows new applications to be built on acommon application infrastructure.

The aPaaS system may support standardized application components, suchas a standardized set of widgets for graphical user interface (GUI)development. In this way, applications built using the aPaaS system havea common look and feel. Other software components and modules may bestandardized as well. In some cases, this look and feel can be brandedor skinned with an enterprise's custom logos and/or color schemes.

The aPaaS system may support the ability to configure the behavior ofapplications using metadata. This allows application behaviors to berapidly adapted to meet specific needs. Such an approach reducesdevelopment time and increases flexibility. Further, the aPaaS systemmay support GUI tools that facilitate metadata creation and management,thus reducing errors in the metadata.

The aPaaS system may support clearly-defined interfaces betweenapplications, so that software developers can avoid unwantedinter-application dependencies. Thus, the aPaaS system may implement aservice layer in which persistent state information and other data isstored.

The aPaaS system may support a rich set of integration features so thatthe applications thereon can interact with legacy applications andthird-party applications. For instance, the aPaaS system may support acustom employee-onboarding system that integrates with legacy HR, IT,and accounting systems.

The aPaaS system may support enterprise-grade security. Furthermore,since the aPaaS system may be remotely hosted, it should also utilizesecurity procedures when it interacts with systems in the enterprise orthird-party networks and services hosted outside of the enterprise. Forexample, the aPaaS system may be configured to share data amongst theenterprise and other parties to detect and identify common securitythreats.

Other features, functionality, and advantages of an aPaaS system mayexist. This description is for purpose of example and is not intended tobe limiting.

As an example of the aPaaS development process, a software developer maybe tasked to create a new application using the aPaaS system. First, thedeveloper may define the data model, which specifies the types of datathat the application uses and the relationships therebetween. Then, viaa GUI of the aPaaS system, the developer enters (e.g., uploads) the datamodel. The aPaaS system automatically creates all of the correspondingdatabase tables, fields, and relationships, which can then be accessedvia an object-oriented services layer.

In addition, the aPaaS system can also build a fully-functional MVCapplication with client-side interfaces and server-side CRUD logic. Thisgenerated application may serve as the basis of further development forthe user. Advantageously, the developer does not have to spend a largeamount of time on basic application functionality. Further, since theapplication may be web-based, it can be accessed from anyInternet-enabled client device. Alternatively or additionally, a localcopy of the application may be able to be accessed, for instance, whenInternet service is not available.

The aPaaS system may also support a rich set of pre-definedfunctionality that can be added to applications. These features includesupport for searching, email, templating, workflow design, reporting,analytics, social media, scripting, mobile-friendly output, andcustomized GUIs.

The following embodiments describe architectural and functional aspectsof example aPaaS systems, as well as the features and advantagesthereof.

II. Example Computing Devices and Cloud-Based Computing Environments

FIG. 1 is a simplified block diagram exemplifying a computing device100, illustrating some of the components that could be included in acomputing device arranged to operate in accordance with the embodimentsherein. Computing device 100 could be a client device (e.g., a deviceactively operated by a user), a server device (e.g., a device thatprovides computational services to client devices), or some other typeof computational platform. Some server devices may operate as clientdevices from time to time in order to perform particular operations, andsome client devices may incorporate server features.

In this example, computing device 100 includes processor 102, memory104, network interface 106, and an input/output unit 108, all of whichmay be coupled by a system bus 110 or a similar mechanism. In someembodiments, computing device 100 may include other components and/orperipheral devices (e.g., detachable storage, printers, and so on).

Processor 102 may be one or more of any type of computer processingelement, such as a central processing unit (CPU), a co-processor (e.g.,a mathematics, graphics, or encryption co-processor), a digital signalprocessor (DSP), a network processor, and/or a form of integratedcircuit or controller that performs processor operations. In some cases,processor 102 may be one or more single-core processors. In other cases,processor 102 may be one or more multi-core processors with multipleindependent processing units. Processor 102 may also include registermemory for temporarily storing instructions being executed and relateddata, as well as cache memory for temporarily storing recently-usedinstructions and data.

Memory 104 may be any form of computer-usable memory, including but notlimited to random access memory (RAM), read-only memory (ROM), andnon-volatile memory (e.g., flash memory, hard disk drives, solid statedrives, compact discs (CDs), digital video discs (DVDs), and/or tapestorage). Thus, memory 104 represents both main memory units, as well aslong-term storage. Other types of memory may include biological memory.

Memory 104 may store program instructions and/or data on which programinstructions may operate. By way of example, memory 104 may store theseprogram instructions on a non-transitory, computer-readable medium, suchthat the instructions are executable by processor 102 to carry out anyof the methods, processes, or operations disclosed in this specificationor the accompanying drawings.

As shown in FIG. 1, memory 104 may include firmware 104A, kernel 104B,and/or applications 104C. Firmware 104A may be program code used to bootor otherwise initiate some or all of computing device 100. Kernel 104Bmay be an operating system, including modules for memory management,scheduling and management of processes, input/output, and communication.Kernel 104B may also include device drivers that allow the operatingsystem to communicate with the hardware modules (e.g., memory units,networking interfaces, ports, and busses), of computing device 100.Applications 104C may be one or more user-space software programs, suchas web browsers or email clients, as well as any software libraries usedby these programs. Memory 104 may also store data used by these andother programs and applications.

Network interface 106 may take the form of one or more wirelineinterfaces, such as Ethernet (e.g., Fast Ethernet, Gigabit Ethernet, andso on). Network interface 106 may also support communication over one ormore non-Ethernet media, such as coaxial cables or power lines, or overwide-area media, such as Synchronous Optical Networking (SONET) ordigital subscriber line (DSL) technologies. Network interface 106 mayadditionally take the form of one or more wireless interfaces, such asIEEE 802.11 (Wifi), BLUETOOTH®, global positioning system (GPS), or awide-area wireless interface. However, other forms of physical layerinterfaces and other types of standard or proprietary communicationprotocols may be used over network interface 106. Furthermore, networkinterface 106 may comprise multiple physical interfaces. For instance,some embodiments of computing device 100 may include Ethernet,BLUETOOTH®, and Wifi interfaces.

Input/output unit 108 may facilitate user and peripheral deviceinteraction with computing device 100. Input/output unit 108 may includeone or more types of input devices, such as a keyboard, a mouse, a touchscreen, and so on. Similarly, input/output unit 108 may include one ormore types of output devices, such as a screen, monitor, printer, and/orone or more light emitting diodes (LEDs). Additionally or alternatively,computing device 100 may communicate with other devices using auniversal serial bus (USB) or high-definition multimedia interface(HDMI) port interface, for example.

In some embodiments, one or more instances of computing device 100 maybe deployed to support an aPaaS architecture. The exact physicallocation, connectivity, and configuration of these computing devices maybe unknown and/or unimportant to client devices. Accordingly, thecomputing devices may be referred to as “cloud-based” devices that maybe housed at various remote data center locations.

FIG. 2 depicts a cloud-based server cluster 200 in accordance withexample embodiments. In FIG. 2, operations of a computing device (e.g.,computing device 100) may be distributed between server devices 202,data storage 204, and routers 206, all of which may be connected bylocal cluster network 208. The number of server devices 202, datastorages 204, and routers 206 in server cluster 200 may depend on thecomputing task(s) and/or applications assigned to server cluster 200.

For example, server devices 202 can be configured to perform variouscomputing tasks of computing device 100. Thus, computing tasks can bedistributed among one or more of server devices 202. To the extent thatthese computing tasks can be performed in parallel, such a distributionof tasks may reduce the total time to complete these tasks and return aresult. For purpose of simplicity, both server cluster 200 andindividual server devices 202 may be referred to as a “server device.”This nomenclature should be understood to imply that one or moredistinct server devices, data storage devices, and cluster routers maybe involved in server device operations.

Data storage 204 may be data storage arrays that include drive arraycontrollers configured to manage read and write access to groups of harddisk drives and/or solid state drives. The drive array controllers,alone or in conjunction with server devices 202, may also be configuredto manage backup or redundant copies of the data stored in data storage204 to protect against drive failures or other types of failures thatprevent one or more of server devices 202 from accessing units of datastorage 204. Other types of memory aside from drives may be used.

Routers 206 may include networking equipment configured to provideinternal and external communications for server cluster 200. Forexample, routers 206 may include one or more packet-switching and/orrouting devices (including switches and/or gateways) configured toprovide (i) network communications between server devices 202 and datastorage 204 via local cluster network 208, and/or (ii) networkcommunications between the server cluster 200 and other devices viacommunication link 210 to network 212.

Additionally, the configuration of routers 206 can be based at least inpart on the data communication requirements of server devices 202 anddata storage 204, the latency and throughput of the local clusternetwork 208, the latency, throughput, and cost of communication link210, and/or other factors that may contribute to the cost, speed,fault-tolerance, resiliency, efficiency and/or other design goals of thesystem architecture.

As a possible example, data storage 204 may include any form ofdatabase, such as a structured query language (SQL) database. Varioustypes of data structures may store the information in such a database,including but not limited to tables, arrays, lists, trees, and tuples.Furthermore, any databases in data storage 204 may be monolithic ordistributed across multiple physical devices.

Server devices 202 may be configured to transmit data to and receivedata from data storage 204. This transmission and retrieval may take theform of SQL queries or other types of database queries, and the outputof such queries, respectively. Additional text, images, video, and/oraudio may be included as well. Furthermore, server devices 202 mayorganize the received data into web page representations. Such arepresentation may take the form of a markup language, such as thehypertext markup language (HTML), the extensible markup language (XML),or some other standardized or proprietary format. Moreover, serverdevices 202 may have the capability of executing various types ofcomputerized scripting languages, such as but not limited to Perl,Python, PHP Hypertext Preprocessor (PHP), Active Server Pages (ASP),JavaScript, and so on. Computer program code written in these languagesmay facilitate the providing of web pages to client devices, as well asclient device interaction with the web pages.

III. Example Remote Network Management Architecture

FIG. 3 depicts a remote network management architecture, in accordancewith example embodiments. This architecture includes three maincomponents, managed network 300, remote network management platform 320,and third-party networks 340, all connected by way of Internet 350.

Managed network 300 may be, for example, an enterprise network used byan entity for computing and communications tasks, as well as storage ofdata. Thus, managed network 300 may include client devices 302, serverdevices 304, routers 306, virtual machines 308, firewall 310, and/orproxy servers 312. Client devices 302 may be embodied by computingdevice 100, server devices 304 may be embodied by computing device 100or server cluster 200, and routers 306 may be any type of router,switch, or gateway.

Virtual machines 308 may be embodied by one or more of computing device100 or server cluster 200. In general, a virtual machine is an emulationof a computing system, and mimics the functionality (e.g., processor,memory, and communication resources) of a physical computer. Onephysical computing system, such as server cluster 200, may support up tothousands of individual virtual machines. In some embodiments, virtualmachines 308 may be managed by a centralized server device orapplication that facilitates allocation of physical computing resourcesto individual virtual machines, as well as performance and errorreporting. Enterprises often employ virtual machines in order toallocate computing resources in an efficient, as needed fashion.Providers of virtualized computing systems include VMWARE® andMICROSOFT®.

Firewall 310 may be one or more specialized routers or server devicesthat protect managed network 300 from unauthorized attempts to accessthe devices, applications, and services therein, while allowingauthorized communication that is initiated from managed network 300.Firewall 310 may also provide intrusion detection, web filtering, virusscanning, application-layer gateways, and other applications orservices. In some embodiments not shown in FIG. 3, managed network 300may include one or more virtual private network (VPN) gateways withwhich it communicates with remote network management platform 320 (seebelow).

Managed network 300 may also include one or more proxy servers 312. Anembodiment of proxy servers 312 may be a server device that facilitatescommunication and movement of data between managed network 300, remotenetwork management platform 320, and third-party networks 340. Inparticular, proxy servers 312 may be able to establish and maintainsecure communication sessions with one or more computational instancesof remote network management platform 320. By way of such a session,remote network management platform 320 may be able to discover andmanage aspects of the architecture and configuration of managed network300 and its components. Possibly with the assistance of proxy servers312, remote network management platform 320 may also be able to discoverand manage aspects of third-party networks 340 that are used by managednetwork 300.

Firewalls, such as firewall 310, typically deny all communicationsessions that are incoming by way of Internet 350, unless such a sessionwas ultimately initiated from behind the firewall (i.e., from a deviceon managed network 300) or the firewall has been explicitly configuredto support the session. By placing proxy servers 312 behind firewall 310(e.g., within managed network 300 and protected by firewall 310), proxyservers 312 may be able to initiate these communication sessions throughfirewall 310. Thus, firewall 310 might not have to be specificallyconfigured to support incoming sessions from remote network managementplatform 320, thereby avoiding potential security risks to managednetwork 300.

In some cases, managed network 300 may consist of a few devices and asmall number of networks. In other deployments, managed network 300 mayspan multiple physical locations and include hundreds of networks andhundreds of thousands of devices. Thus, the architecture depicted inFIG. 3 is capable of scaling up or down by orders of magnitude.

Furthermore, depending on the size, architecture, and connectivity ofmanaged network 300, a varying number of proxy servers 312 may bedeployed therein. For example, each one of proxy servers 312 may beresponsible for communicating with remote network management platform320 regarding a portion of managed network 300. Alternatively oradditionally, sets of two or more proxy servers may be assigned to sucha portion of managed network 300 for purposes of load balancing,redundancy, and/or high availability.

Remote network management platform 320 is a hosted environment thatprovides aPaaS services to users, particularly to the operators ofmanaged network 300. These services may take the form of web-basedportals, for instance. Thus, a user can securely access remote networkmanagement platform 320 from, for instance, client devices 302, orpotentially from a client device outside of managed network 300. By wayof the web-based portals, users may design, test, and deployapplications, generate reports, view analytics, and perform other tasks.

As shown in FIG. 3, remote network management platform 320 includes fourcomputational instances 322, 324, 326, and 328. Each of these instancesmay represent a set of web portals, services, and applications (e.g., awholly-functioning aPaaS system) available to a particular customer. Insome cases, a single customer may use multiple computational instances.For example, managed network 300 may be an enterprise customer of remotenetwork management platform 320, and may use computational instances322, 324, and 326. The reason for providing multiple instances to onecustomer is that the customer may wish to independently develop, test,and deploy its applications and services. Thus, computational instance322 may be dedicated to application development related to managednetwork 300, computational instance 324 may be dedicated to testingthese applications, and computational instance 326 may be dedicated tothe live operation of tested applications and services. A computationalinstance may also be referred to as a hosted instance, a remoteinstance, a customer instance, or by some other designation. Anyapplication deployed onto a computational instance may be a scopedapplication, in that its access to databases within the computationalinstance can be restricted to certain elements therein (e.g., one ormore particular database tables or particular rows with one or moredatabase tables).

The multi-instance architecture of remote network management platform320 is in contrast to conventional multi-tenant architectures, overwhich multi-instance architectures exhibit several advantages. Inmulti-tenant architectures, data from different customers (e.g.,enterprises) are comingled in a single database. While these customers'data are separate from one another, the separation is enforced by thesoftware that operates the single database. As a consequence, a securitybreach in this system may impact all customers' data, creatingadditional risk, especially for entities subject to governmental,healthcare, and/or financial regulation. Furthermore, any databaseoperations that impact one customer will likely impact all customerssharing that database. Thus, if there is an outage due to hardware orsoftware errors, this outage affects all such customers. Likewise, ifthe database is to be upgraded to meet the needs of one customer, itwill be unavailable to all customers during the upgrade process. Often,such maintenance windows will be long, due to the size of the shareddatabase.

In contrast, the multi-instance architecture provides each customer withits own database in a dedicated computing instance. This preventscomingling of customer data, and allows each instance to beindependently managed. For example, when one customer's instanceexperiences an outage due to errors or an upgrade, other computationalinstances are not impacted. Maintenance down time is limited because thedatabase only contains one customer's data. Further, the simpler designof the multi-instance architecture allows redundant copies of eachcustomer database and instance to be deployed in a geographicallydiverse fashion. This facilitates high availability, where the liveversion of the customer's instance can be moved when faults are detectedor maintenance is being performed.

In some embodiments, remote network management platform 320 may includeone or more central instances, controlled by the entity that operatesthis platform. Like a computational instance, a central instance mayinclude some number of physical or virtual servers and database devices.Such a central instance may serve as a repository for data that can beshared amongst at least some of the computational instances. Forinstance, definitions of common security threats that could occur on thecomputational instances, software packages that are commonly discoveredon the computational instances, and/or an application store forapplications that can be deployed to the computational instances mayreside in a central instance. Computational instances may communicatewith central instances by way of well-defined interfaces in order toobtain this data.

In order to support multiple computational instances in an efficientfashion, remote network management platform 320 may implement aplurality of these instances on a single hardware platform. For example,when the aPaaS system is implemented on a server cluster such as servercluster 200, it may operate a virtual machine that dedicates varyingamounts of computational, storage, and communication resources toinstances. But full virtualization of server cluster 200 might not benecessary, and other mechanisms may be used to separate instances. Insome examples, each instance may have a dedicated account and one ormore dedicated databases on server cluster 200. Alternatively,computational instance 322 may span multiple physical devices.

In some cases, a single server cluster of remote network managementplatform 320 may support multiple independent enterprises. Furthermore,as described below, remote network management platform 320 may includemultiple server clusters deployed in geographically diverse data centersin order to facilitate load balancing, redundancy, and/or highavailability.

Third-party networks 340 may be remote server devices (e.g., a pluralityof server clusters such as server cluster 200) that can be used foroutsourced computational, data storage, communication, and servicehosting operations. These servers may be virtualized (i.e., the serversmay be virtual machines). Examples of third-party networks 340 mayinclude AMAZON WEB SERVICES® and MICROSOFT® Azure. Like remote networkmanagement platform 320, multiple server clusters supporting third-partynetworks 340 may be deployed at geographically diverse locations forpurposes of load balancing, redundancy, and/or high availability.

Managed network 300 may use one or more of third-party networks 340 todeploy applications and services to its clients and customers. Forinstance, if managed network 300 provides online music streamingservices, third-party networks 340 may store the music files and provideweb interface and streaming capabilities. In this way, the enterprise ofmanaged network 300 does not have to build and maintain its own serversfor these operations.

Remote network management platform 320 may include modules thatintegrate with third-party networks 340 to expose virtual machines andmanaged services therein to managed network 300. The modules may allowusers to request virtual resources and provide flexible reporting forthird-party networks 340. In order to establish this functionality, auser from managed network 300 might first establish an account withthird-party networks 340, and request a set of associated resources.Then, the user may enter the account information into the appropriatemodules of remote network management platform 320. These modules maythen automatically discover the manageable resources in the account, andalso provide reports related to usage, performance, and billing.

Internet 350 may represent a portion of the global Internet. However,Internet 350 may alternatively represent a different type of network,such as a private wide-area or local-area packet-switched network.

FIG. 4 further illustrates the communication environment between managednetwork 300 and computational instance 322, and introduces additionalfeatures and alternative embodiments. In FIG. 4, computational instance322 is replicated across data centers 400A and 400B. These data centersmay be geographically distant from one another, perhaps in differentcities or different countries. Each data center includes supportequipment that facilitates communication with managed network 300, aswell as remote users.

In data center 400A, network traffic to and from external devices flowseither through VPN gateway 402A or firewall 404A. VPN gateway 402A maybe peered with VPN gateway 412 of managed network 300 by way of asecurity protocol such as Internet Protocol Security (IPSEC) orTransport Layer Security (TLS). Firewall 404A may be configured to allowaccess from authorized users, such as user 414 and remote user 416, andto deny access to unauthorized users. By way of firewall 404A, theseusers may access computational instance 322, and possibly othercomputational instances. Load balancer 406A may be used to distributetraffic amongst one or more physical or virtual server devices that hostcomputational instance 322. Load balancer 406A may simplify user accessby hiding the internal configuration of data center 400A, (e.g.,computational instance 322) from client devices. For instance, ifcomputational instance 322 includes multiple physical or virtualcomputing devices that share access to multiple databases, load balancer406A may distribute network traffic and processing tasks across thesecomputing devices and databases so that no one computing device ordatabase is significantly busier than the others. In some embodiments,computational instance 322 may include VPN gateway 402A, firewall 404A,and load balancer 406A.

Data center 400B may include its own versions of the components in datacenter 400A. Thus, VPN gateway 402B, firewall 404B, and load balancer406B may perform the same or similar operations as VPN gateway 402A,firewall 404A, and load balancer 406A, respectively. Further, by way ofreal-time or near-real-time database replication and/or otheroperations, computational instance 322 may exist simultaneously in datacenters 400A and 400B.

Data centers 400A and 400B as shown in FIG. 4 may facilitate redundancyand high availability. In the configuration of FIG. 4, data center 400Ais active and data center 400B is passive. Thus, data center 400A isserving all traffic to and from managed network 300, while the versionof computational instance 322 in data center 400B is being updated innear-real-time. Other configurations, such as one in which both datacenters are active, may be supported.

Should data center 400A fail in some fashion or otherwise becomeunavailable to users, data center 400B can take over as the active datacenter. For example, domain name system (DNS) servers that associate adomain name of computational instance 322 with one or more InternetProtocol (IP) addresses of data center 400A may re-associate the domainname with one or more IP addresses of data center 400B. After thisre-association completes (which may take less than one second or severalseconds), users may access computational instance 322 by way of datacenter 400B.

FIG. 4 also illustrates a possible configuration of managed network 300.As noted above, proxy servers 312 and user 414 may access computationalinstance 322 through firewall 310. Proxy servers 312 may also accessconfiguration items 410. In FIG. 4, configuration items 410 may refer toany or all of client devices 302, server devices 304, routers 306, andvirtual machines 308, any applications or services executing thereon, aswell as relationships between devices, applications, and services. Thus,the term “configuration items” may be shorthand for any physical orvirtual device, or any application or service remotely discoverable ormanaged by computational instance 322, or relationships betweendiscovered devices, applications, and services. Configuration items maybe represented in a configuration management database (CMDB) ofcomputational instance 322.

As noted above, VPN gateway 412 may provide a dedicated VPN to VPNgateway 402A. Such a VPN may be helpful when there is a significantamount of traffic between managed network 300 and computational instance322, or security policies otherwise suggest or require use of a VPNbetween these sites. In some embodiments, any device in managed network300 and/or computational instance 322 that directly communicates via theVPN is assigned a public IP address. Other devices in managed network300 and/or computational instance 322 may be assigned private IPaddresses (e.g., IP addresses selected from the 10.0.0.0-10.255.255.255or 192.168.0.0-192.168.255.255 ranges, represented in shorthand assubnets 10.0.0.0/8 and 192.168.0.0/16, respectively).

IV. Example Device, Application, and Service Discovery

In order for remote network management platform 320 to administer thedevices, applications, and services of managed network 300, remotenetwork management platform 320 may first determine what devices arepresent in managed network 300, the configurations and operationalstatuses of these devices, and the applications and services provided bythe devices, and well as the relationships between discovered devices,applications, and services. As noted above, each device, application,service, and relationship may be referred to as a configuration item.The process of defining configuration items within managed network 300is referred to as discovery, and may be facilitated at least in part byproxy servers 312.

For purpose of the embodiments herein, an “application” may refer to oneor more processes, threads, programs, client modules, server modules, orany other software that executes on a device or group of devices. A“service” may refer to a high-level capability provided by multipleapplications executing on one or more devices working in conjunctionwith one another. For example, a high-level web service may involvemultiple web application server threads executing on one device andaccessing information from a database application that executes onanother device.

FIG. 5A provides a logical depiction of how configuration items can bediscovered, as well as how information related to discoveredconfiguration items can be stored. For sake of simplicity, remotenetwork management platform 320, third-party networks 340, and Internet350 are not shown.

In FIG. 5A, CMDB 500 and task list 502 are stored within computationalinstance 322. Computational instance 322 may transmit discovery commandsto proxy servers 312. In response, proxy servers 312 may transmit probesto various devices, applications, and services in managed network 300.These devices, applications, and services may transmit responses toproxy servers 312, and proxy servers 312 may then provide informationregarding discovered configuration items to CMDB 500 for storagetherein. Configuration items stored in CMDB 500 represent theenvironment of managed network 300.

Task list 502 represents a list of activities that proxy servers 312 areto perform on behalf of computational instance 322. As discovery takesplace, task list 502 is populated. Proxy servers 312 repeatedly querytask list 502, obtain the next task therein, and perform this task untiltask list 502 is empty or another stopping condition has been reached.

To facilitate discovery, proxy servers 312 may be configured withinformation regarding one or more subnets in managed network 300 thatare reachable by way of proxy servers 312. For instance, proxy servers312 may be given the IP address range 192.168.0/24 as a subnet. Then,computational instance 322 may store this information in CMDB 500 andplace tasks in task list 502 for discovery of devices at each of theseaddresses.

FIG. 5A also depicts devices, applications, and services in managednetwork 300 as configuration items 504, 506, 508, 510, and 512. As notedabove, these configuration items represent a set of physical and/orvirtual devices (e.g., client devices, server devices, routers, orvirtual machines), applications executing thereon (e.g., web servers,email servers, databases, or storage arrays), relationshipstherebetween, as well as services that involve multiple individualconfiguration items.

Placing the tasks in task list 502 may trigger or otherwise cause proxyservers 312 to begin discovery. Alternatively or additionally, discoverymay be manually triggered or automatically triggered based on triggeringevents (e.g., discovery may automatically begin once per day at aparticular time).

In general, discovery may proceed in four logical phases: scanning,classification, identification, and exploration. Each phase of discoveryinvolves various types of probe messages being transmitted by proxyservers 312 to one or more devices in managed network 300. The responsesto these probes may be received and processed by proxy servers 312, andrepresentations thereof may be transmitted to CMDB 500. Thus, each phasecan result in more configuration items being discovered and stored inCMDB 500.

In the scanning phase, proxy servers 312 may probe each IP address inthe specified range of IP addresses for open Transmission ControlProtocol (TCP) and/or User Datagram Protocol (UDP) ports to determinethe general type of device. The presence of such open ports at an IPaddress may indicate that a particular application is operating on thedevice that is assigned the IP address, which in turn may identify theoperating system used by the device. For example, if TCP port 135 isopen, then the device is likely executing a WINDOWS® operating system.Similarly, if TCP port 22 is open, then the device is likely executing aUNIX® operating system, such as LINUX®. If UDP port 161 is open, thenthe device may be able to be further identified through the SimpleNetwork Management Protocol (SNMP). Other possibilities exist. Once thepresence of a device at a particular IP address and its open ports havebeen discovered, these configuration items are saved in CMDB 500.

In the classification phase, proxy servers 312 may further probe eachdiscovered device to determine the version of its operating system. Theprobes used for a particular device are based on information gatheredabout the devices during the scanning phase. For example, if a device isfound with TCP port 22 open, a set of UNIX®-specific probes may be used.Likewise, if a device is found with TCP port 135 open, a set ofWINDOWS®-specific probes may be used. For either case, an appropriateset of tasks may be placed in task list 502 for proxy servers 312 tocarry out. These tasks may result in proxy servers 312 logging on, orotherwise accessing information from the particular device. Forinstance, if TCP port 22 is open, proxy servers 312 may be instructed toinitiate a Secure Shell (SSH) connection to the particular device andobtain information about the operating system thereon from particularlocations in the file system. Based on this information, the operatingsystem may be determined. As an example, a UNIX® device with TCP port 22open may be classified as AIX®, HPUX, LINUX®, MACOS®, or SOLARIS®. Thisclassification information may be stored as one or more configurationitems in CMDB 500.

In the identification phase, proxy servers 312 may determine specificdetails about a classified device. The probes used during this phase maybe based on information gathered about the particular devices during theclassification phase. For example, if a device was classified as LINUX®,a set of LINUX®-specific probes may be used. Likewise if a device wasclassified as WINDOWS® 2012, as a set of WINDOWS®-2012-specific probesmay be used. As was the case for the classification phase, anappropriate set of tasks may be placed in task list 502 for proxyservers 312 to carry out. These tasks may result in proxy servers 312reading information from the particular device, such as basicinput/output system (BIOS) information, serial numbers, networkinterface information, media access control address(es) assigned tothese network interface(s), IP address(es) used by the particular deviceand so on. This identification information may be stored as one or moreconfiguration items in CMDB 500.

In the exploration phase, proxy servers 312 may determine furtherdetails about the operational state of a classified device. The probesused during this phase may be based on information gathered about theparticular devices during the classification phase and/or theidentification phase. Again, an appropriate set of tasks may be placedin task list 502 for proxy servers 312 to carry out. These tasks mayresult in proxy servers 312 reading additional information from theparticular device, such as processor information, memory information,lists of running processes (applications), and so on. Once more, thediscovered information may be stored as one or more configuration itemsin CMDB 500.

Running discovery on a network device, such as a router, may utilizeSNMP. Instead of or in addition to determining a list of runningprocesses or other application-related information, discovery maydetermine additional subnets known to the router and the operationalstate of the router's network interfaces (e.g., active, inactive, queuelength, number of packets dropped, etc.). The IP addresses of theadditional subnets may be candidates for further discovery procedures.Thus, discovery may progress iteratively or recursively.

Once discovery completes, a snapshot representation of each discovereddevice, application, and service is available in CMDB 500. For example,after discovery, operating system version, hardware configuration andnetwork configuration details for client devices, server devices, androuters in managed network 300, as well as applications executingthereon, may be stored. This collected information may be presented to auser in various ways to allow the user to view the hardware compositionand operational status of devices, as well as the characteristics ofservices that span multiple devices and applications.

Furthermore, CMDB 500 may include entries regarding dependencies andrelationships between configuration items. More specifically, anapplication that is executing on a particular server device, as well asthe services that rely on this application, may be represented as suchin CMDB 500. For instance, suppose that a database application isexecuting on a server device, and that this database application is usedby a new employee onboarding service as well as a payroll service. Thus,if the server device is taken out of operation for maintenance, it isclear that the employee onboarding service and payroll service will beimpacted. Likewise, the dependencies and relationships betweenconfiguration items may be able to represent the services impacted whena particular router fails.

In general, dependencies and relationships between configuration itemsmay be displayed on a web-based interface and represented in ahierarchical fashion. Thus, adding, changing, or removing suchdependencies and relationships may be accomplished by way of thisinterface.

Furthermore, users from managed network 300 may develop workflows thatallow certain coordinated activities to take place across multiplediscovered devices. For instance, an IT workflow might allow the user tochange the common administrator password to all discovered LINUX®devices in single operation.

In order for discovery to take place in the manner described above,proxy servers 312, CMDB 500, and/or one or more credential stores may beconfigured with credentials for one or more of the devices to bediscovered. Credentials may include any type of information needed inorder to access the devices. These may include userid/password pairs,certificates, and so on. In some embodiments, these credentials may bestored in encrypted fields of CMDB 500. Proxy servers 312 may containthe decryption key for the credentials so that proxy servers 312 can usethese credentials to log on to or otherwise access devices beingdiscovered.

The discovery process is depicted as a flow chart in FIG. 5B. At block520, the task list in the computational instance is populated, forinstance, with a range of IP addresses. At block 522, the scanning phasetakes place. Thus, the proxy servers probe the IP addresses for devicesusing these IP addresses, and attempt to determine the operating systemsthat are executing on these devices. At block 524, the classificationphase takes place. The proxy servers attempt to determine the operatingsystem version of the discovered devices. At block 526, theidentification phase takes place. The proxy servers attempt to determinethe hardware and/or software configuration of the discovered devices. Atblock 528, the exploration phase takes place. The proxy servers attemptto determine the operational state and applications executing on thediscovered devices. At block 530, further editing of the configurationitems representing the discovered devices and applications may takeplace. This editing may be automated and/or manual in nature.

The blocks represented in FIG. 5B are for purpose of example. Discoverymay be a highly configurable procedure that can have more or fewerphases, and the operations of each phase may vary. In some cases, one ormore phases may be customized, or may otherwise deviate from theexemplary descriptions above.

V. Example Software License Management

While some software applications used by managed network 300 may behosted by an aPaaS system, as described above in relation to FIGS. 1through 4, others may be installed on the individual computing, client,and/or server devices themselves. Such software is often proprietary,and may be licensed in various ways.

Regardless of the licensing scheme, the enterprise may attempt to keeptrack of which of its computing, client, and/or server devices use whatlicensed software. To facilitate this, the enterprise may attempt tomaintain software entitlement records, which provide information aboutsoftware license rights held by the enterprise's managed network. Suchlicense information may include information specific to various softwareapplications. As an example, for a given software application, licenseinformation may include a publisher/vendor name for the softwareapplication, a publisher part number, a software model (e.g., a name,version, and/or edition of the software application), a license metricof the software application (e.g., whether the software application islicensed per computing device, per processor, per processor core, peruser, etc.), and/or a license duration of the software application.Additionally or alternatively, such license information may includeinformation that represents collective software usage for managednetwork 300, including but not limited to purchased rights (e.g., numberof licenses purchased/held by managed network 300) and/or licensemetrics for managed network 300, among others.

In any case, by maintaining accurate software license information, theenterprise can even better track to what degree software usage complieswith software license rights held by the managed network. Still,tracking software application usage across an entire enterprise maypresent challenges. A large enterprise may use thousands of separatecomputing devices, each of which may use a set of software applications.Further, such computing devices may go in and out of service, or requiredifferent software applications over time. Still further, differentversions or builds of each software application may be installed acrossthese computing devices.

Tracking the use of software within an enterprise may be achieved usingan aPaaS system as described above in relation to FIGS. 1 through 5B.Such an aPaaS system may be particularly suited to tracking suchsoftware usage because the aPaaS system may already be configured togather information from computing devices in managed networks such asthe enterprise. Other techniques for tracking the use of software withinan enterprise are possible as well.

As will be discussed in more detail below, the embodiments describedherein provide a technical improvement over previous approaches forsoftware asset management, particularly with respect to monitoring useof certain types of licensed software and accurately detecting misusesof such licenses. For example, existing techniques for software assertmanagement can involve counting licenses and comparing the license countto a number of software installations. This can be performed on acyclical basis, such as during audit cycles. By contrast, improvedapproaches described herein dynamically identify potential licensemisuse and can notify an administrator in real-time or close toreal-time, rather than waiting for an audit cycle or other time toassess license use. Further, improved approaches described herein canuse more-detailed criteria for identifying and flagging license misusescenarios.

VI. Example Detection of Software License Misuse

Some software can be installed on and executed by a server device (ormultiple server devices) within managed network 300. Access to thissoftware, and thus the services, data, etc. that the software provides,can be granted by way of a license. Such licensed software (alsoreferred to herein as “licensed software applications”) can be licensedper user, per computing device, based on one or more metrics (e.g.,licensed for use in making only a predefined number of purchase orders),or in other manners.

When accessing the licensed software, a communication session (alsoreferred to herein as a “session”) can be established and conducted viaa connection between a computing device and the server device runningthe licensed software. During such a session, the computing device canreceive data stored in a database associated with the server device,transmit data to the server device for the server device to write to thedatabase, or perform other actions. Further, the server device can beconfigured to collect and store, in the database, records of suchsessions. These records (also referred to herein as “session records”)can include a variety of information associated with the sessions,including but not limited to network addresses (e.g., IP addresses) ofcomputing devices that are involved in the sessions.

Accessing the licensed software can occur in various ways. For example,a user can access the licensed software directly by way of a userinterface delivered with or as part of the licensed software. Forinstance, the user interface may be provided as part of a softwareapplication developed by the licensor and installed on a user'scomputing device, and a licensed user can use the user interface to logon to access the licensed software.

Alternatively, a user can access the licensed software indirectly by wayof an “intermediary package,” such as an intermediary softwareapplication or intermediary platform, that is not part of the licensedsoftware but that has an integration with the licensed software. Forexample, a user having an account associated with the intermediarypackage can access the licensed software via the intermediary package.Such an intermediary package can include software custom-built by theenterprise and/or software developed by a third-party. Further, thisintermediary package can be executable by one or more computing devicesassociated with managed network 300 or elsewhere (e.g., a computingdevice outside of managed network 300).

For example, an HR department may use HR software supporting anintegration with the licensed software and an IT department may use ITsoftware supporting an integration with the licensed software. As a moreparticular example, the enterprise may build a software application fortracking goods sold by the enterprise and accordingly updatingcorresponding records maintained by the licensed software for theenterprise. Other examples are possible as well.

The manner in which software is licensed to an enterprise for indirectaccess use can vary, and thus, scenarios in which an enterprise can beconsidered to be misusing (e.g., violating) a license can vary as well.

In an example licensing scenario, the enterprise may be required topurchase a number of licenses equal to a number of users that will beindirectly accessing the licensed software, regardless of how manyintermediary packages are being used to access the licensed software.Thus, when the enterprise purchases indirect access licenses for aparticular number of users and no more than that particular number ofusers are indirectly accessing the licensed software, the enterprise iscompliant with its license agreement. However, if the number of usersindirectly accessing the licensed software exceeds the particularnumber, the enterprise may be in violation of the license agreement.

FIG. 6 illustrates an example of this licensing scenario. As shown inFIG. 6, an enterprise is using two different intermediary packages inmanaged network 300 to indirectly access licensed software 600 installedon server device 602: intermediary package 604 and intermediary package606. In this example, User 1 and User 2 are shown to be usingintermediary package 604 to indirectly access licensed software 600,User 3 and User 4 are shown to be using intermediary package 606 toindirectly access licensed software 600, and User 5 is shown to be usingboth intermediary packages 604, 606. Even though User 5 is using bothintermediary packages 604, 606, the enterprise in this scenario may berequired to purchase of only five licenses because the total number ofusers indirectly accessing licensed software 600 is five. Further, ifUser 1, User 2, User 3, and/or User 4 began using both intermediarypackages 604, 606, the enterprise would not be violating its license.However, if an additional user (e.g., User 6, not shown in FIG. 6)begins using one or both of intermediary packages 604, 606, such as byusing the same account as any one or more of the other users, theenterprise may then be in violation of the license.

As another example licensing scenario, the enterprise may purchase anindirect access license that authorizes a limited number of transactionsbetween the enterprise and the licensed software per year, such as alimited number of purchase orders or other transactions placed per yearusing the licensed software. Additionally or alternatively, theenterprise may purchase an indirect access license that authorizes alimited amount of data (e.g., a limited number of bytes) to betransmitted per year. In either scenario, if within a given year theenterprise exceeds the limitations specified by the respective licenses,the enterprise may be in violation of the license. Other examplescenarios are also possible, as well as variations or combinations ofthe scenarios described above.

In these and other scenarios, misuse of indirect access licenses,whether intended or unintended by the enterprise and its associatedusers, can render the enterprise liable for additional license fees andpossibly place the enterprise at risk of penalties resulting fromlicense misuse. Therefore, it is desirable for an enterprise to be ableto efficiently and accurately detect various scenarios of indirectaccess license misuse, particularly when the enterprise's managednetwork includes large quantities (e.g., thousands) of computingdevices, users, intermediary packages, etc. In addition, as theenterprise changes, it can be desirable for the enterprise to be able tochange the types of scenarios that are detected as misuse.

Accordingly, the present disclosure provides a software application fordetecting activity indicative of misuse of licensed software licenses.In particular, the software application can be configured to analyzesession records stored by the server device on which the licensedsoftware is running, as well as analyze network layer traffic to andfrom the server device. Based on these analyses, the softwareapplication can identify one or more sessions that meet a set of licensemisuse criteria and identify a “target computing device”—namely, acomputing device related to the managed network that is involved in theidentified session(s) and that is a potential source of misuse of one ormore licensed software licenses held by the enterprise. Thus, thesoftware application can flag (e.g., store, and possibly display, anindication that identifies) the target computing device as a potentialsource of misuse of one or more of such licenses. In addition, thesoftware application can be configured to use device, application, andservice discovery information to build viewable maps of interconnectedcomputing devices in the managed network used to provide and access thelicensed software. These maps can be used to identify which computingdevices (and perhaps, in turn, which intermediary packages) are beingused within the managed network to access the licensed software.

Although operations are discussed herein primarily with respect todetecting scenarios of indirect access license misuse, such operationscould also be performed for detecting misuse of direct access licensesor other types of licenses. As such, the target computing device that isidentified and flagged could be a computing device used to directlyaccess the licensed software, or could be a computing device that runsan intermediary package used to indirectly access the licensed software.

Implementations of this disclosure provide technological improvementsthat are particular to computer networks and computing systems, forexample, managed computer networks such as managed network 300.

Computing network-specific technological problems, such as inefficiency,unreliability, and complexity of monitoring software license usage inmanaged networks—particularly large managed networks with hundreds orthousands of computing devices, software applications, and user activitythereon—can be wholly or partially solved by the implementations of thisdisclosure. For example, implementations of this disclosure provide atool that can reduce time spent by an enterprise in accurately detectingpotential sources of license misuse within the enterprise's managednetwork and in turn can reduce any undesirable consequences associatedwith such misuse. To facilitate this, for instance, implementations ofthis disclosure can provide the enterprise with the ability todynamically define customized criteria, or to use predefined criteria,for flagging a computing device as a potential source of license misuse.Further, implementations of this disclosure can provide a way for theenterprise to obtain detailed information about sessions betweencomputing devices within the enterprise's managed network and serverdevices running licensed software. This detailed information canadvantageously provide insight into the time, extent, and nature of suchsessions, as well as the extent and nature of data communicated duringsuch sessions, which can enable the enterprise to identify potentialsources of license misuse and make more informed decisions in responseto detecting license misuse. In addition, the ability to detect sourcesof license misuse, as well as the detailed information, can enable theenterprise (e.g., administrators, or users that are unknowinglycontributing to the license misuse) to learn about scenarios in whichlicense misuse occurs and take proactive action to prevent futureoccurrences.

These and other improvements are described in more detail below, thoughthe operations described below are for purposes of example and thatimplementations may provide other improvements as well.

FIG. 7 illustrates an example communication environment in which asoftware application, software application 608, can detect scenarios ofpotential license misuse. As shown, software application 608 isexecutable on a computing device 610 within managed network 300. Withinexamples, computing device 610 can be one of the proxy servers 312 shownin FIGS. 3, 4, 5A, and 5B, and in addition to executing softwareapplication 608 to perform operations related to detecting licensemisuse, can facilitate performance of any one or more of the proxyserver operations discussed above. Within other examples, softwareapplication 608 can be an application that is (i) provided for use bymanaged network 300 as part of a computational instance of remotenetwork management platform 320, such as computational instance 322,that is dedicated to managed network 300, and (ii) executable on acomputing device of the computational instance. Alternatively, softwareapplication 608 might be software that is not associated with remotenetwork management platform 320. Further, computing device 610 can takethe form of any one or more computing devices discussed herein, such ascomputing device 100, one of client devices 302 shown in FIG. 3, oranother computing device.

Computing device 610 is shown to be in communication with server device602 on which licensed software 600 is installed. Further, server device602 is shown to be in communication with a database 612. In line withthe discussion above, database 612 can be a database in which serverdevice 602 stores records of sessions between computing devices ofmanaged network 300 and server device 602. Together, server device 602and database 612 are a licensed system within managed network 300.

As discussed above, computing devices related to managed network 300 canbe used to directly and/or indirectly access server device 602, andthereby access licensed software 600, in accordance with one or morelicenses. Target computing device 614 is shown as a representativeexample of such a computing device. In the context of indirect access,it will be assumed that target computing device 614 is configured to runone or more intermediary packages through which a user can indirectlyaccess server device 602. As a representative example, intermediarypackage 604 is shown.

In an example process for indirectly accessing the licensed system,target computing device 614 may establish a connection with serverdevice 602 over which target computing device 614 can log on to andconduct a session with server device 602. Server device 602 may reserveone or more TCP port numbers to use for the session and may use aparticular IP address for the session. Further, target computing device614 may establish the connection and communicate with server device 602in accordance with one or more application layer communicationprotocols. Such a communication protocol may define a process forestablishing the connection, logging on to server device 602, exchangingdata between target computing device 614 and server device 602, and/orother aspects of the session. In an example session, for instance,target computing device 614 may make a remote function call that causesserver device 602 to execute instructions associated with the functioncall and perform one or more operations defined by the instructions. Onthe other hand, server device 602 could similarly make a function callthat causes target computing device 614 to perform one or moreoperations.

In some implementations, the communication protocols may be protocolsproprietarily associated with a licensor, and both target computingdevice 614 and server device 602 may be configured to communicationaccording to the protocol. As a more particular example, the licensedsystem may be a SAP® system and the protocol may be a remote functioncall (RFC) protocol. Other examples, both proprietary andnon-proprietary, are possible as well. And other examples of indirectlyaccessing the licensed system are also possible.

Furthermore, for the purposes of example herein, a “session” can includeefforts to engage in a session, regardless of whether those effortssubsequently resulted in the session being conducted. For example, acomputing device's failed attempt of establishing a connection withserver device 602 and/or a failed attempt at logging on to server device602 after a connection is made can still be considered a session ofwhich server device 602 may store a record indicating the connectionattempt and/or log-on attempt, along with other information.

In line with the discussion above, software application 608 can beconfigured to carry out operations described in connection with aprocess for detecting license misuse. An example implementation of thisprocess will now be described in more detail with respect to FIG. 7.

In the example implementation, software application 608 may communicatewith server device 602 to access the records stored in database 612.This may involve software application 608 establishing a connection withserver device 602 in a manner described above, and then proceeding toaccess the records via the connection. Within examples, softwareapplication 608 may log on to server device 602 via a web portal orother means via which software application 608 can access the records.Additionally or alternatively, software application 608 may transmit, toserver device 602, a request to access at least a portion of therecords, which may trigger server device 602 to in turn query database612 for the requested records and transmit copies of the requestedrecords to computing device 610.

In some implementations, managed network 300 may include multiplelicensed systems (i.e., server device(s) and associated database(s)) anda license held by the enterprise may allow for a user to access one ormore of these licensed systems. Thus, in these implementations, beforesoftware application 608 analyzes any records to identify potentiallicense misuse, software application 608 may access and aggregaterecords from each of these systems. While records from one licensedsystem might not indicate a potential license misuse scenario, recordsfrom another system or a combination of records from multiple licensedsystems might indicate such a scenario.

As discussed above, the records stored in database 612 can take the formof tables or other data structures that include a variety of informationthat server device 602 logged for sessions between computing devices inmanaged network 300 and server device 602. Within examples, the recordsof a given server device, such as server device 602, can include, for agiven session, (i) a network address (e.g., IP address) of a computingdevice involved in the session, such as target computing device 614 oranother device running an intermediary package, (ii) a type ofconnection over which the session occurred (e.g., RFC connection oranother protocol), (iii) a user identifier (e.g., user ID or userprofile ID) associated with the account involved in the session, (iv)whether the user identifier is associated with one or more licenses heldby the enterprise, (v) conditions of the license(s) associated with theuser (e.g., how long the license term is and/or how many transactionsthe enterprise or user is licensed to make with licensed systems), (vi)a number of failed log-on attempts by the user, (vii) a time at whichthe user last logged on to server device 602, (viii) an identifier(e.g., name or number) of server device 602, (ix) an amount of data(e.g., a number of bytes) server device 602 received from the computingdevice, (x) an amount of data server device 602 sent to the computingdevice, (xi) a total duration of the session (e.g., represented inmilliseconds), (xii) a number of transactions that occurred, (xiii)respective times at which the transactions occurred, (xiv) respectivedurations of the transactions, (xv) a total duration during which theserver device 602 received data, (xvi) a total duration during which theserver device 602 sent data, (xvii) a TCP port number server device 602used, (xviii) a network address of server device 602, (xix) anindication of whether an attempt was made to connect with server device602, and/or (xx) a name of a function that was called as part of atransaction or other action during the session, among otherpossibilities.

FIG. 8A and FIG. 8B depict example records associated with sessions inwhich licensed software is accessed. In particular, FIG. 8A is a record800 associated with a particular user, User_1, for a particular sessionconducted between target computing device 614 and server device 602.Further, FIG. 8B is a record 802 associated with two transactions thatoccurred during the session. In particular, the record 802 includes twodifferent occurrences of the same type of function call, FUNCTION_X,during the session. In other examples, the record 802 could include twoor more different function calls that were made during the session. Eachof the records 800, 802 include at least some of the informationdescribed above.

In database 612, or perhaps in a different database, additionalinformation associated with various users in managed network 300 may bestored. Examples include, for a given user profile (i) one or more knownuser identifiers associated with the user, (ii) one or more known emailaddresses associated with the user, (iii) a first and last name of theuser, and/or (iv) one or more departments of the enterprise in which theuser works, among other possibilities. Software application 608 mayaccess this information as well, in addition to the records discussedabove.

License agreements for licensed software may vary from enterprise toenterprise. Thus, software application 608 can advantageously enable theenterprise (e.g., a user such as an administrator) to customize a set oflicense misuse criteria so that the enterprise can target specific typesof license misuse scenarios to detect. Ultimately, it is desirable todetect scenarios in which the enterprise exceeds a given license'sscope.

Accordingly, using a set of license misuse criteria, softwareapplication 608 can parse the records to identify (e.g., flag) apotential license misuse scenario, namely, a set of one or more sessionsbetween a given target computing device and server device 602 that meetthe set of license misuse criteria. In addition, software application608 can parse the records to identify the network address of the targetcomputing device involved in the set of sessions. Software application608 can then use the target computing device's network address toidentify the target computing device, such as by querying a database(e.g., CMDB 500) to determine whether a computing device is associatedwith the network address of the target computing device. For instance,the database might return a unique alphanumeric identifier of the targetcomputing device, a location of the target computing device withinmanaged network 300, and/or other information identifying the targetcomputing device. Further, software application 608 can flag the targetcomputing device as a source of potential license misuse, such as bystoring an indication in memory accessible to software application 608.

Software application 608 could be configured to perform this process,including accessing records for use in the process, on demand or on apredefined repeated basis, such as hourly, daily, monthly, or yearly,with the same or new criteria between performances.

The set of license misuse criteria can include one or more criteria usedindividually or in combination to detect license misuse. Along theselines, each criterion in the set of license misuse criteria can beconsidered to be criterion that, when met by one session or acombination of sessions in which a given target computing device isinvolved, triggers software application 608 to flag the session(s) as aset of sessions that is/are a source of potential license misuse. Adetermination of whether a given criterion is met can involve comparingat least a portion of the record information and/or user profileinformation described above to a threshold. Further, a determination ofwhether a given criterion of the set of license misuse criteriadescribed herein is met can involve whether the criterion is met over aparticular period of time (e.g., seconds, minutes, hours, days, weeks,etc.). In some examples, a criterion may involve a sliding window oftime. For instance, given a sliding window of two minutes, adetermination of whether the criterion is met can involve determiningwhether the criterion was met within the two minutes preceding thedetermination.

One criterion may be a number of bytes transmitted during the set ofsessions exceeding a threshold number of bytes. For example, if thenumber of bytes sent from server device 602 to target computing device614 and/or received by server device 602 from target computing device614 exceeds a threshold number of bytes (e.g., 1 gigabyte), softwareapplication 608 may flag the set of sessions and target computing device614. As another example, if during the set of sessions the number ofsent/received bytes per unit time exceeds a threshold number of bytes(e.g., more than 600 kilobytes are sent and/or received in one second),software application 608 may similarly flag the set of sessions andtarget computing device 614.

Another criterion may be the set of sessions including more than athreshold number of sessions. This particular criterion may take variousforms. For instance, the criterion could take the form of the set ofsessions including more than a threshold number of non-simultaneoussessions per unit time (e.g., a second, fifteen seconds, at any instant,etc.). As an example, if target computing device 614 is involved in morethan ten non-simultaneous sessions in a two minute span of time (e.g., afirst session lasting ten seconds, followed by a second session lastingfifteen seconds, followed by a third session lasting five seconds, andso on), software application 608 may flag the sessions and targetcomputing device 614. Additionally or alternatively, the criterion couldtake the form of the set of sessions including more than a thresholdnumber of simultaneous sessions. In particular, target computing device614 may be involved in a number of simultaneous sessions with serverdevice 602 (possibly with each having the same source IP address anddestination IP address, but different port numbers at target computingdevice 614), and if the number exceeds a threshold, the sessions andtarget computing device 614 can be flagged. For example, if targetcomputing device 614 is involved in more than two sessions at a time,software application 608 may flag target computing device 614. Inanother example, target computing device 614 may be flagged if it isinvolved in more than one session at a time.

Similarly, in other implementations, if target computing device 614 hasmade more than a threshold number of connection attempts and/or morethan a threshold number of log-on attempts with server device 602 withina period of time—regardless of whether the connection was actuallyestablished and whether a session was subsequently conducted—softwareapplication 608 may flag target computing device 614.

Another criterion may be the average session duration of the set ofsessions exceeding a threshold duration (e.g., a minute, two minutes,five minutes, etc.). For example, if the average duration of thesession(s) in which target computing device 614 is involved exceeds tenminutes, software application 608 may flag target computing device 614.

Another criterion may be a number of function calls made during the setof sessions exceeding a threshold number of function calls, such as iftarget computing device 614 makes more than ten function calls in asession, or makes more than thirty function calls over a series ofsessions. In either case, software application 608 may flag targetcomputing device 614.

Another criterion may be that a function call of a specific type wasmade during the set of sessions. For example, software application 608could flag a specific function call, and if target computing device 614is involved in a session during which target computing device 614 madethe specific function call, software application 608 may flag targetcomputing device 614.

In some implementations, software application 608 may identify variouscommonalities among sessions other than a single target computingdevice, and may flag such commonalities. For example, softwareapplication 608 may identify within the records that the same username(or other identifier associated with an account for licensed software600) is being used in each session of a set of sessions. In turn,software application 608 may flag the username and/or may engage inefforts to determine which client devices or other devices are beingused in managed network 300 to log on to server device 602 via targetcomputing device 614 with the username. In a related example, softwareapplication 608 may determine that the set of sessions includes morethan a threshold number of sessions for which the username was used tolog on to server device 602 and, in response to making such adetermination, may flag the username as a source of potential licensemisuse.

As another example, software application 608 may identify that a seriesof sessions are being conducted at the same time each day and/or eachsession of the series has the same duration, and may flag such sessions,target computing device(s) involved in such sessions, and/or otherinformation. Other example commonalities are possible as well. And otherexample license misuse criteria are possible as well.

As noted above, software application 608 can use the target computingdevice's network address to identify target computing device 614 so thatsoftware application 608 can flag target computing device 614. Tofacilitate this, software application 608 can use at least some of thediscovery processes or the information gained therefrom. For example,CMDB 500 may correlate various configuration items to identifiersthereof, such as correlating the IP address of target computing device614 to a unique alphanumeric identifier of target computing device 614.Thus, software application 608 can request and receive, from CMDB 500,an identifier of target computing device 614 that CMDB 500 correlateswith the IP address of target computing device 614. However, if suchinformation is not contained in CMDB 500, such as if target computingdevice 614 has not yet been discovered, and thus target computing device614 cannot be identified, software application 608 could be configuredto use the IP address of target computing device 614 to cause targetcomputing device 614 to be discovered. For instance, softwareapplication 608 could transmit an instruction to one of proxy servers312 to in turn transmit a discovery probe to the IP address of targetcomputing device 614 to obtain information about target computing device614, which can be stored in CMDB 500. These and other discoveryprocesses could also be used to determine which applications or othersoftware is running on target computing device 614, such as intermediarypackage 604.

Software application 608 can be configured to invoke additionaloperations that might provide additional help to an enterprise inidentifying sources of potential license misuse. One such operation isservice mapping, which is described in more detail in the followingsection. In essence, service mapping can be used to visually depictwhich devices that run intermediary packages are communicating withserver device 602, or any other server(s) associated with licensedsoftware 600. And in some scenarios, service mapping and associatedtechniques could be used to determine and visually depict which clientdevices or other devices are communicating with the intermediarypackages to access server device 602.

VII. Example Service Mapping in Connection with License Misuse

Generally, service mapping may involve a computational instanceobtaining information related to sets of interconnected computingdevices and applications, operating on managed network 300, that areconfigured to provide a service, such as providing services associatedwith licensed software 600. Service mapping can build viewable maps ofthe configuration items (e.g., the computing devices, applications, andany related configuration information or profiles) used to provide theservice. Dependencies between these configuration items may be based onrelationships between the computing devices and applications.

Thus, a service map may be a visual representation on a web-based GUI,for instance, that depicts particular applications operating onparticular computing devices in the managed network as nodes in a graph.The edges of the graph may represent physical and/or logical networkconnectivity between these nodes.

In the context of the present disclosure, this visual representation canallow users to rapidly identify devices and applications that areconnecting to server device 602 and/or other server devices associatedwith licensed software 600.

FIG. 9A depicts an example of such a service map 900. As shown, servicemap 900 includes server device 602 and intermediary package 604 (i.e.,target computing device 614) visually represented as nodes: node 902 andnode 904, respectively. In addition, another intermediarypackage—intermediary package 606, in this scenario—running on anotherserver device in managed network 300, is visually represented as node906. Node 904 and node 906 are each shown to be interconnected withserver device 602 to represent how the two intermediary packages arebeing used to access server device 602. Some service maps may includetext for each node identifying the device that the node represents.Thus, node 902 includes the name of server device 602, node 904 includesthe name of intermediary package 604, and node 906 includes the name ofintermediary package 606.

FIG. 9B depicts another example service map 908. As shown, service map908 includes two client devices, named “C1” and “C2,” visuallyrepresented as nodes: node 910 and node 912, respectively. Node 910 andnode 912 are each shown to have an edge connecting the node to node 904,which visually represents the two client devices that are accessingserver device 602 via intermediary package 604.

In some implementations, software application 608 may generate andprovide for display at least a portion of either of service map 900 andservice map 908 in response to various trigger conditions. For example,in response to software application 608 identifying the network addressof target computing device 614, software application 608 may displaynode 902 and node 904 to show the connection between intermediarypackage 604 and server device 602.

In some implementations, software application 608 may map and displayall devices/applications associated with managed network 300 that haveconnected with server device 602 or other servers associated withlicensed software 600. In other implementations, however, softwareapplication 608 may only map and display devices/applications that havebeen flagged or that were involved in sessions that were flagged.

Discovery procedures may be used, at least in part, to determine therelationships between computing devices and applications that define anduse services associated with licensed software 600. Alternatively oradditionally, services and/or components thereof may be manually definedafter discovery has at least partially completed. From this information,a service map can be derived.

The service maps displayed in FIG. 9A and FIG. 9B may be discovered andgenerated according to various rules. Service mapping may begin or betriggered to begin when a user manually provides, or softwareapplication 608 automatically provides, a service mapping application ina computational instance with an address (e.g., a URL, domain name, orIP address) of a service's entry point, such as an IP address of targetcomputing device 614. Based on this input, CMDB 500 may be queried todetermine whether one or more computing devices associated with theaddress exist therein.

If not, pattern-based discovery may be invoked to determine thecharacteristics of these computing devices and the applicationsexecuting on them. Then, service mapping further carries out discoveryfor any applications related to these newly discovered configurationitems. Not unlike the procedures described above, service mapping mayinvolve the computational instance issuing commands to a proxy server inmanaged network 300, and the proxy server undertaking discovery.

Additionally or alternatively, traffic-based service mapping may becarried out to discover related computing devices and applications byanalyzing network traffic. In some cases, traffic-based service mappingcan find configuration items that the computational instance fails tofind using pattern-based service mapping. Network traffic logs, such asthose from a commercially-available network traffic analyzer, may becollected and stored in a network traffic database accessible by thenetwork traffic analyzer, such as a database in managed network 300.Traffic-based service mapping processes these records to identify packetflows and connections between specific applications that were executingon specific computing devices. For instance, the network traffic logsmay show that there are persistent or ongoing connections between serverdevice 602 and intermediary package 604. Traffic-based service mappingcan also use discovery procedures to log on to computing devices andinvoke commands to determine connections involving a particularcomputing device.

Once service mapping completes, information regarding the discoveredcomputing device(s) and application(s) can be stored in CMDB 500.

In some implementations, operations related to traffic-based servicemapping can be used as an additional or alternative method foridentifying target computing device 614. The traffic logs may include,for example, the source IP address, destination IP address, source TCPport, and/or destination TCP port of each packet transmitted to and fromserver device 602. In this way, the source IP address, possibly incombination with the source TCP port, can be used to identify aninitiating application/device of a connection between server device 602and another device. Likewise, the destination IP address, possibly incombination with the destination TCP port, can be used to identify thereceiving application/device of the connection. The detection of one ormore packets transmitted from a particular source to a particulardestination is indicative of a relationship between theapplications/devices identified by the respective IP addresses and/orport numbers.

Further, the traffic logs can be used to determine or corroborate theamount of data that is transmitted during a given session. Inparticular, software application 608 or other device could use thetraffic logs to count the detected bytes transmitted to/from serverdevice 602 for the session.

In some implementations, software application 608 can be configured todetermine, or at least narrow down for an administrator or other user,which client devices or other devices are communicating with theintermediary packages to access server device 602. To facilitate this,for example, the traffic logs may include the source IP address,destination IP address, source TCP port, and/or destination TCP port ofsome or all packets transmitted to and from target computing device 614.Similar to the manner discussed above for determining initiating andreceiving applications/devices of a connection between target computingdevice 614 and server device 602, software application 608 can use thispacket information to determine initiating and receivingapplications/devices of connections between target computing device 614and one or more client devices or other computing devices that mighthave been used to access server device 602 via target computing device614.

Software application 608 could additionally be configured to use thetraffic logs to determine a time when one or more packets weretransmitted between target computing device 614 and server device 602,determine a time when one or more packets were transmitted betweentarget computing device 614 and another computing device (e.g., clientdevice “C1” shown in FIG. 9B), and compare the two times. If the timesare within a threshold period of time of each other (e.g., tenmilliseconds), this may be indicative that the other computing devicemay have been used to access server device 602 via target computingdevice 614. Other methods for identifying which client devices or otherdevices are accessing server device 602 via intermediary packages arepossible as well.

In some implementations, traffic log data can be supplemented with otherdata indicative of communication involving entities in managed network300. For example, collection software designed for this purpose could beinstalled to run on one of the proxy servers 312. This collectionsoftware could be configured to receive, from one or more switches thatcommunicate with servers in managed network 300, raw data from thecommunications between the switch(s) and the servers. The collectionsoftware might summarize the raw data in a table or other format. Thedata might corroborate the existence of communication between certaindevices first identified by the traffic logs, or might include uniquedata that traffic-based service mapping or pattern-based discoverytechniques did not find. Thus, this data could indicate that packetswere transmitted between server device 602 and target computing device614 and/or between target computing device 614 and one or more clientdevices.

VIII. Example Operations

FIG. 10 is a flow chart illustrating an example embodiment. The processillustrated by FIG. 10 may be carried out by a computing device, such ascomputing device 100 and/or a cluster of computing devices, such asserver cluster 200. For the purposes of example, the process illustratedby FIG. 10 will be described as being carried out by a softwareapplication, such as software application 608, that is executable on acomputing device of a managed network, such as computing device 610 ofmanaged network 300. Additionally or alternatively, software application608 could be executable on a computing device of a computationalinstance of remote network management platform 320, such ascomputational instance 322. However, the process can be carried out byother types of applications, devices, or device subsystems. For example,the process could be carried out by a portable computer, such as alaptop or a tablet device.

The embodiments of FIG. 10 may be simplified by the removal of any oneor more of the features shown therein. Further, these embodiments may becombined with features, aspects, and/or implementations of any of theprevious figures or otherwise described herein.

Block 1000 involves communicating with a server device of a managednetwork to access records of communication sessions between the serverdevice and computing devices related to the managed network. Thecommunication sessions may be initiated through use of accountsauthorized to access the server device by licenses associated with alicensed software application executable on the server device. Themanaged network may contain the server device and a database associatedwith the licensed software application. The database may store therecords, and the records may include network addresses of the computingdevices that are involved in the communication sessions.

Block 1002 involves using a set of license misuse criteria to identify,within the records, (i) a set of the communication sessions that meetsthe set of license misuse criteria and (ii) a network address of atarget computing device involved in the set of communication sessions.The set of license misuse criteria may comprise at least one of a numberof bytes transmitted between the target computing device and the serverdevice during the set of communication sessions exceeds a thresholdnumber of bytes, or the set of communication sessions includes more thana threshold number of communication sessions.

Block 1004 involves based on the network address of the target computingdevice, identifying the target computing device.

Block 1006 involves storing in memory an indication that identifies thetarget computing device as a potential source of misuse of one or moreof the licenses.

In some embodiments, the set of communication sessions including morethan the threshold number of communication sessions may comprise the setof communication sessions including more than a threshold number ofnon-simultaneous communication sessions per unit time. Determiningwhether the set of communication sessions meets the set of licensemisuse criteria may involve determining whether the set of communicationsessions includes more than the threshold number of non-simultaneouscommunication sessions per unit time.

In some embodiments the set of communication sessions including morethan the threshold number of communication sessions comprises the set ofcommunication sessions including more than a threshold number ofsimultaneous communication sessions. Determining whether the set ofcommunication sessions meets the set of license misuse criteria mayinvolve determining whether the set of communication sessions includesmore than the threshold number of simultaneous communication sessions.

In some embodiments, the process may involve identifying, within therecords, a username used to log on to the server device for eachcommunication session of the set of communication sessions, where theusername is associated with an account authorized to access the serverdevice. The process may further involve making a determination ofwhether the set of communication sessions includes more than a thresholdnumber of communication sessions for which the username was used to logon to the server device. And the process may further involve, inresponse to the determination being that the set of communicationsessions includes more than the threshold number of communicationsessions for which the username was used to log on to the server device,storing in memory an indication that identifies the username as apotential source of misuse of one or more of the licenses.

In some embodiments, the set of license misuse criteria may alsocomprise an average duration of the set of communication sessionsexceeding a threshold duration.

In some embodiments, there may be a CMDB disposed within a computationalinstance of a remote network management platform. The CMDB may includenetwork addresses of at least some of the computing devices related tothe managed network and correlates the network addresses withidentifiers of the at least some of the computing devices. In suchembodiments, identifying the target computing device based on thenetwork address of the target computing device may involve requestingand receiving, from the CMDB, an identifier of the target computingdevice. Alternatively, identifying the target computing device based onthe network address of the target computing device may involve (i)determining that the CMDB does not correlate the network address of thetarget computing device with any identifier of the target computingdevice, (ii) in response to the determining, causing a discovery probeto be transmitted to the network address of the target computing device,where the discovery probe causes a discovery process to be carried outfor the target computing device and the CMDB to store an identifier ofthe target computing device, and (iii) requesting and receiving, fromthe CMDB, the identifier of the target computing device.

In some embodiments, identifying the target computing device based onthe network address of the target computing device may involverequesting and receiving, from a network traffic database, networktraffic logs contained in the network traffic database. The networktraffic logs may include, for data packets transmitted to and from theserver device during the communication sessions, source IP addresses, adestination IP addresses, source TCP port numbers, and destination TCPport numbers. Identifying the target computing device based on thenetwork address of the target computing device may also involve using atleast one of the source IP addresses, the destination IP address, thesource TCP port numbers, or the destination TCP port numbers from thenetwork traffic logs to identify the target computing device.

In some embodiments, the process may also involve requesting andreceiving, from a network traffic database, network traffic logscontained in the network traffic database. The network traffic logs mayinclude, for data packets transmitted to and from the target computingdevice, source IP addresses, a destination IP addresses, source TCP portnumbers, and destination TCP port numbers. Identifying the targetcomputing device based on the network address of the target computingdevice may also involve using at least one of the source IP addresses,the destination IP address, the source TCP port numbers, or thedestination TCP port numbers from the network traffic logs to identifyat least one client computing device involved in the set ofcommunication sessions.

In some embodiments, the process may also involve, in response toidentifying the target computing device, generating and providing fordisplay a graphical user interface including the target computing deviceand the server device visually represented as nodes in a graph, whereinthe nodes are connected in the graph by an edge representative of anetwork connection between the target computing device and the serverdevice.

IX. Conclusion

The present disclosure is not to be limited in terms of the particularembodiments described in this application, which are intended asillustrations of various aspects. Many modifications and variations canbe made without departing from its scope, as will be apparent to thoseskilled in the art. Functionally equivalent methods and apparatuseswithin the scope of the disclosure, in addition to those describedherein, will be apparent to those skilled in the art from the foregoingdescriptions. Such modifications and variations are intended to fallwithin the scope of the appended claims.

The above detailed description describes various features and operationsof the disclosed systems, devices, and methods with reference to theaccompanying figures. The example embodiments described herein and inthe figures are not meant to be limiting. Other embodiments can beutilized, and other changes can be made, without departing from thescope of the subject matter presented herein. It will be readilyunderstood that the aspects of the present disclosure, as generallydescribed herein, and illustrated in the figures, can be arranged,substituted, combined, separated, and designed in a wide variety ofdifferent configurations.

With respect to any or all of the message flow diagrams, scenarios, andflow charts in the figures and as discussed herein, each step, block,and/or communication can represent a processing of information and/or atransmission of information in accordance with example embodiments.Alternative embodiments are included within the scope of these exampleembodiments. In these alternative embodiments, for example, operationsdescribed as steps, blocks, transmissions, communications, requests,responses, and/or messages can be executed out of order from that shownor discussed, including substantially concurrently or in reverse order,depending on the functionality involved. Further, more or fewer blocksand/or operations can be used with any of the message flow diagrams,scenarios, and flow charts discussed herein, and these message flowdiagrams, scenarios, and flow charts can be combined with one another,in part or in whole.

A step or block that represents a processing of information cancorrespond to circuitry that can be configured to perform the specificlogical functions of a herein-described method or technique.Alternatively or additionally, a step or block that represents aprocessing of information can correspond to a module, a segment, or aportion of program code (including related data). The program code caninclude one or more instructions executable by a processor forimplementing specific logical operations or actions in the method ortechnique. The program code and/or related data can be stored on anytype of computer readable medium such as a storage device including RAM,a disk drive, a solid state drive, or another storage medium.

The computer readable medium can also include non-transitory computerreadable media such as computer readable media that store data for shortperiods of time like register memory and processor cache. The computerreadable media can further include non-transitory computer readablemedia that store program code and/or data for longer periods of time.Thus, the computer readable media may include secondary or persistentlong term storage, like ROM, optical or magnetic disks, solid statedrives, compact-disc read only memory (CD-ROM), for example. Thecomputer readable media can also be any other volatile or non-volatilestorage systems. A computer readable medium can be considered a computerreadable storage medium, for example, or a tangible storage device.

Moreover, a step or block that represents one or more informationtransmissions can correspond to information transmissions betweensoftware and/or hardware modules in the same physical device. However,other information transmissions can be between software modules and/orhardware modules in different physical devices.

The particular arrangements shown in the figures should not be viewed aslimiting. It should be understood that other embodiments can includemore or less of each element shown in a given figure. Further, some ofthe illustrated elements can be combined or omitted. Yet further, anexample embodiment can include elements that are not illustrated in thefigures.

While various aspects and embodiments have been disclosed herein, otheraspects and embodiments will be apparent to those skilled in the art.The various aspects and embodiments disclosed herein are for purpose ofillustration and are not intended to be limiting, with the true scopebeing indicated by the following claims.

What is claimed is:
 1. A system comprising: a remote network managementplatform containing a computational instance associated with a managednetwork, wherein the managed network contains a server device and adatabase associated with a licensed software application executable onthe server device, wherein the database stores records of communicationsessions between the server device and computing devices related to themanaged network, wherein the communication sessions are initiatedthrough use of accounts authorized to access the server device bylicenses associated with the licensed software application, and whereinthe records include network addresses of the computing devices that areinvolved in the communication sessions; a software application,executable on a computing device of the computational instance or of themanaged network, and configured to: communicate with the server deviceto access the records; use a set of license misuse criteria to identify,within the records, (i) a set of the communication sessions that meetsthe set of license misuse criteria and (ii) a network address of atarget computing device involved in the set of communication sessions,wherein the set of license misuse criteria comprises a number ofindirect access licenses exceeding a threshold number of indirect accesslicenses per communication session of the set of communication sessions,wherein the number of indirect access licenses is indicative of anallowed number of transactions between a second server device of aprovider of the software application and the target computing device;based on the network address of the target computing device, identifythe target computing device; and store in memory an indication thatidentifies the target computing device as a potential source of misuseof one or more of the licenses.
 2. The system of claim 1, wherein theset of license misuse criteria comprises the set of communicationsessions including more than a threshold number of communicationsessions.
 3. The system of claim 2, wherein the set of communicationsessions including more than the threshold number of communicationsessions comprises the set of communication sessions including more thana threshold number of simultaneous communication sessions.
 4. The systemof claim 2, wherein the software application is configured to: identify,within the records, a username used to log on to the server device foreach communication session of the set of communication sessions, whereinthe username is associated with an account authorized to access theserver device; make a determination of whether the set of communicationsessions includes more than a threshold number of communication sessionsfor which the username was used to log on to the server device; and inresponse to the determination being that the set of communicationsessions includes more than the threshold number of communicationsessions for which the username was used to log on to the server device,store in memory an indication that identifies the username as apotential source of misuse of one or more of the licenses.
 5. The systemof claim 2, wherein the set of communication sessions including morethan the threshold number of communication sessions comprises the set ofcommunication sessions including more than a threshold number ofnon-simultaneous communication sessions.
 6. The system of claim 1,wherein the set of license misuse criteria comprises an average durationof the set of communication sessions exceeding a threshold duration. 7.The system of claim 1, comprising a configuration management database(CMDB) of the computational instance, wherein the CMDB includes networkaddresses of at least some of the computing devices related to themanaged network and correlates the network addresses with identifiers ofthe at least some of the computing devices, wherein identifying thetarget computing device based on the network address of the targetcomputing device comprises requesting and receiving, from the CMDB, anidentifier of the target computing device.
 8. The system of claim 1,comprising a configuration management database (CMDB) of thecomputational instance, wherein the CMDB includes network addresses ofat least some of the computing devices related to the managed networkand correlates the network addresses with identifiers of the at leastsome of the computing devices, wherein identifying the target computingdevice based on the network address of the target computing devicecomprises: determining that the CMDB does not correlate the networkaddress of the target computing device with any identifier of the targetcomputing device, in response to the determining, causing a discoveryprobe to be transmitted to the network address of the target computingdevice, wherein the discovery probe causes a discovery process to becarried out for the target computing device and the CMDB to store anidentifier of the target computing device, and requesting and receiving,from the CMDB, the identifier of the target computing device.
 9. Thesystem of claim 1, wherein identifying the target computing device basedon the network address of the target computing device comprises:requesting and receiving, from a network traffic database, networktraffic logs contained in the network traffic database, wherein thenetwork traffic logs include, for data packets transmitted to and fromthe server device during the communication sessions, source InternetProtocol (IP) addresses, a destination IP addresses, source TransmissionControl Protocol (TCP) port numbers, and destination TCP port numbers;and using at least one of the source IP addresses, the destination IPaddress, the source TCP port numbers, or the destination TCP portnumbers from the network traffic logs to identify the target computingdevice.
 10. The system of claim 1, wherein the software application isconfigured to: request and receive, from a network traffic database,network traffic logs contained in the network traffic database, whereinthe network traffic logs include, for data packets transmitted to andfrom the target computing device, source Internet Protocol (IP)addresses, a destination IP addresses, source Transmission ControlProtocol (TCP) port numbers, and destination TCP port numbers; and useat least one of the source IP addresses, the destination IP address, thesource TCP port numbers, or the destination TCP port numbers from thenetwork traffic logs to identify at least one client computing deviceinvolved in the set of communication sessions.
 11. The system of claim1, wherein the software application is configured to: in response toidentifying the target computing device, generate and provide fordisplay a graphical user interface including the target computing deviceand the server device visually represented as nodes in a graph, whereinthe nodes are connected in the graph by an edge representative of anetwork connection between the target computing device and the serverdevice.
 12. The system of claim 1, wherein the set of license misusecriteria comprises a number of bytes transmitted between the targetcomputing device and the server device during the set of communicationsessions exceeding a threshold number of bytes.
 13. A method performedby a software application executable on a computing device, the methodcomprising: communicating with a server device of a managed network toaccess records of communication sessions between the server device andcomputing devices related to the managed network, wherein thecommunication sessions are initiated through use of accounts authorizedto access the server device by licenses associated with a licensedsoftware application executable on the server device, wherein themanaged network contains the server device and a database associatedwith the licensed software application, wherein the database stores therecords, and wherein the records include network addresses of thecomputing devices that are involved in the communication sessions; usinga set of license misuse criteria to identify, within the records, (i) aset of the communication sessions that meets the set of license misusecriteria and (ii) a network address of a target computing deviceinvolved in the set of communication sessions, wherein the set oflicense misuse criteria comprises a number of indirect access licensesexceeding a threshold number of indirect access licenses percommunication session of the set of communication sessions, wherein thenumber of indirect access licenses is indicative of an allowed number oftransactions between a provider of the software application and thetarget computing device; based on the network address of the targetcomputing device, identifying the target computing device; and storingin memory an indication that identifies the target computing device as apotential source of misuse of one or more of the licenses.
 14. Themethod of claim 13, wherein the computing device on which the softwareapplication is executable is a computing device of the managed network.15. The method of claim 13, wherein the computing device on which thesoftware application is executable is a computing device of acomputational instance of a remote network management platformassociated with, and provided for use by, the managed network.
 16. Themethod of claim 13, comprising: identifying, within the records, ausername used to log on to the server device for each communicationsession of the set of communication sessions, wherein the username isassociated with an account authorized to access the server device;making a determination of whether the set of communication sessionsincludes more than a threshold number of communication sessions forwhich the username was used to log on to the server device; and inresponse to the determination being that the set of communicationsessions includes more than the threshold number of communicationsessions for which the username was used to log on to the server device,storing in memory an indication that identifies the username as apotential source of misuse of one or more of the licenses.
 17. Themethod of claim 13, comprising: in response to identifying the targetcomputing device, generating and providing for display a graphical userinterface including the target computing device and the server devicevisually represented as nodes in a graph, wherein the nodes areconnected in the graph by an edge representative of a network connectionbetween the target computing device and the server device.
 18. Themethod of claim 13, wherein the set of license misuse criteria comprisesa number of connection attempts between the target computing device andthe server device within a period of time exceeding a threshold numberof connection attempts.
 19. The method of claim 13, wherein the methodcomprises generating a traffic-based service mapping that is indicativeof packet flows and connections between the computing devices that areinvolved in the communication sessions.
 20. An article of manufactureincluding a non-transitory computer-readable medium, having storedthereon program instructions that, upon execution by a computing device,cause the computing device to perform operations comprising:communicating with a server device of a managed network to accessrecords of communication sessions between the server device andcomputing devices related to the managed network, wherein thecommunication sessions are initiated through use of accounts authorizedto access the server device by licenses associated with a licensedsoftware application executable on the server device, wherein themanaged network contains the server device and a database associatedwith the licensed software application, wherein the database stores therecords, and wherein the records include network addresses of thecomputing devices that are involved in the communication sessions; usinga set of license misuse criteria to identify, within the records, (i) aset of the communication sessions that meets the set of license misusecriteria and (ii) a network address of a target computing deviceinvolved in the set of communication sessions, wherein the set oflicense misuse criteria comprises a number of indirect access licensesexceeding a threshold number of indirect access licenses percommunication session of the set of communication sessions, wherein thenumber of indirect access licenses is indicative of an allowed number oftransactions between a provider of the software application and thetarget computing device; based on the network address of the targetcomputing device, identifying the target computing device; and storingin memory an indication that identifies the target computing device as apotential source of misuse of one or more of the licenses.